Give your agents a clean REST API to store and retrieve structured data.
Agents are only as good as the data they can access. Give them a structured, queryable backend without building one from scratch.
LLMs and agent frameworks work best with predictable, typed data. EazeMyAPI enforces schema so your agents always get consistent shapes back from every query.
Your agent can store state, log decisions, persist retrieved context, and update records through clean REST calls. No custom API code to maintain.
Design the exact tables your agent workflow requires. Memory stores, task queues, output logs, retrieval indexes. Describe them and get the endpoints your agent tools need.
Skip the server provisioning, connection pooling, and database ops. EazeMyAPI handles the infrastructure so you focus entirely on your agent logic.
From agent data design to live REST API in three steps. Your agents are calling endpoints before you finish your first cup of coffee.
Think about what your agent needs to store and retrieve. "A memory table for conversation context, a tasks table for planned actions, and a results table for completed outputs."
EazeMyAPI generates a complete cloud-powered API for every table. Your agent framework can immediately start reading, writing, filtering, and paginating records.
Point LangChain, CrewAI, custom tool-calling logic, or any HTTP-capable agent at the generated endpoints. Structured memory and persistence are live immediately.
Give them a real relational backend. Describe your agent data schema and get a full REST API in minutes.